IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v307y2025ics037837742400533x.html
   My bibliography  Save this article

Productivity of water and heat resources and cotton yield response to cropping pattern and planting density in cotton fields in arid area

Author

Listed:
  • Dong, Zhenlin
  • Wan, Sumei
  • Ma, Yunzhen
  • Wang, Jinbin
  • Feng, Lu
  • Zhai, Yunlong
  • Li, Tiantian
  • Cui, Zhengjun
  • Wang, Jian
  • Yang, Beifang
  • Yang, Ze
  • Zhao, Zhan
  • Yan, Fei
  • Xiong, Shiwu
  • Li, Yabing
  • Chen, Guodong

Abstract

The individual effects of cropping patterns and planting densities on cotton yield formation and resource utilization have been extensively studied in the arid regions of western China, but research on their combined impacts remains limited. This study hypothesized that optimizing cropping patterns and planting densities would enhance hydrothermal resource productivity and cotton yield in the region. To test this, a two-year field experiment (2022–2023) employed a split-plot design with two main planting patterns (four rows per film and six rows per film) and three planting densities (low, medium, and high) as subplots. Using internet of sensor technology, soil temperature and moisture were monitored to assess their spatial and temporal distributions. The effects of planting pattern, density, and their interactions on cotton yield, yield components, biomass accumulation, and water and heat utilization were evaluated. The interaction between pattern and density significantly influenced cotton yield, harvest index, and water productivity, with planting density exerting a stronger effect on water productivity than planting pattern. In 2023, the four-row pattern at low and medium densities produced higher yields than the high-density treatment. Over the two-year period, the four-row, low-density treatment achieved 8.77 % and 13.40 % greater water productivity than the medium- and high-density treatments, respectively, while the six-row, medium-density treatment outperformed low and high densities, increasing water productivity by 3.64 % and 8.74 %. Seed cotton yield was also higher, with a 2.88 % and 6.15 % increase in the four-row, low-density treatment and an 8.51 % and 4.79 % increase in the six-row, medium-density treatment compared to higher-density treatments. The study further analyzed spatial and temporal variations in soil moisture and temperature and their link to resource productivity and cotton yield. Soil water content differences ranged from 0.10 to 0.90 mm in the four-row pattern and from 0.20 to 0.70 mm in the six-row pattern between low- and high-density treatments. Planting density significantly affected soil temperature during flowering and boll-setting stages. Lint and seed cotton yields showed positive correlations with soil heat production efficiency (PEsoil) and negative correlations with water production efficiency (WPc), with optimal patterns observed in the four-row, low-density and six-row, medium-density treatments. These findings explain why these configurations led to a higher harvest index and enhanced hydrothermal resource productivity. This study provides valuable insights into the optimal configurations for maximizing cotton yield and resource efficiency in arid regions, supporting sustainable cotton production under resource-limited conditions.

Suggested Citation

  • Dong, Zhenlin & Wan, Sumei & Ma, Yunzhen & Wang, Jinbin & Feng, Lu & Zhai, Yunlong & Li, Tiantian & Cui, Zhengjun & Wang, Jian & Yang, Beifang & Yang, Ze & Zhao, Zhan & Yan, Fei & Xiong, Shiwu & Li, Y, 2025. "Productivity of water and heat resources and cotton yield response to cropping pattern and planting density in cotton fields in arid area," Agricultural Water Management, Elsevier, vol. 307(C).
  • Handle: RePEc:eee:agiwat:v:307:y:2025:i:c:s037837742400533x
    DOI: 10.1016/j.agwat.2024.109197
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037837742400533X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2024.109197?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:307:y:2025:i:c:s037837742400533x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.